




"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase				:     Tuple					=				logging.get_logger(__name__)

lowerCAmelCase				:     List[Any]					=				{
    """facebook/data2vec-text-base""": """https://huggingface.co/data2vec/resolve/main/config.json""",
}






class        __magic_name__				(			UpperCAmelCase__							):






				'''simple docstring'''
				__UpperCamelCase         =		"data2vec-text"





				def __init__(			self						,					_a=30_522						,					_a=768						,					_a=12						,					_a=12						,					_a=3_072						,					_a="gelu"						,					_a=0.1						,					_a=0.1						,					_a=512						,					_a=2						,					_a=0.02						,					_a=1e-1_2						,					_a=1						,					_a=0						,					_a=2						,					_a="absolute"						,					_a=True						,					_a=None						,					**_a						,					):





							"""simple docstring"""
							super().__init__(pad_token_id=_a						,					bos_token_id=_a						,					eos_token_id=_a						,					**_a					)

							lowerCamelCase      =   vocab_size
							lowerCamelCase      =   hidden_size
							lowerCamelCase      =   num_hidden_layers
							lowerCamelCase      =   num_attention_heads
							lowerCamelCase      =   hidden_act
							lowerCamelCase      =   intermediate_size
							lowerCamelCase      =   hidden_dropout_prob
							lowerCamelCase      =   attention_probs_dropout_prob
							lowerCamelCase      =   max_position_embeddings
							lowerCamelCase      =   type_vocab_size
							lowerCamelCase      =   initializer_range
							lowerCamelCase      =   layer_norm_eps
							lowerCamelCase      =   position_embedding_type
							lowerCamelCase      =   use_cache
							lowerCamelCase      =   classifier_dropout






class        __magic_name__				(			UpperCAmelCase__							):






				'''simple docstring'''





				@property
				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							if self.task == "multiple-choice":
										lowerCamelCase      =   {0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
										lowerCamelCase      =   {0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							    ]					)









"""simple docstring"""




def        a__					(							snake_case__							)		->   list:

			if len(snake_case__							) <= 1:
						return [tuple(snake_case__							)]

			lowerCamelCase      =   []

			def generate(snake_case__			,					snake_case__							):
						lowerCamelCase      =   [0] * n
						res.append(tuple(snake_case__							)							)

						lowerCamelCase      =   0
						while i < n:
									if c[i] < i:
												if i % 2 == 0:
															lowerCamelCase ,  lowerCamelCase      =   arr[i], arr[0]
												else:
															lowerCamelCase ,  lowerCamelCase      =   arr[i], arr[c[i]]
												res.append(tuple(snake_case__							)							)
												c[i] += 1
												lowerCamelCase      =   0
									else:
												lowerCamelCase      =   0
												i += 1

			generate(len(snake_case__							)			,					snake_case__							)
			return res


if __name__ == "__main__":
					lowerCAmelCase				:     str					=				input("""Enter numbers separated by a comma:\n""").strip()
					lowerCAmelCase				:     List[Any]					=				[int(item) for item in user_input.split(""",""")]
					print(heaps(arr))



